PyGAD: an intuitive genetic algorithm Python library
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17167-y.pdf
Reference11 articles.
1. Simon D (2013) Evolutionary optimization algorithms. John Wiley & Sons
2. Gad, AF (2018) Practical computer vision applications using deep learning with CNNs. Apress
3. Gen M, Lin L (2023) ”Genetic algorithms and their applications.” Springer handbook of engineering statistics. London: Springer London 635–674
4. Sohail A (2023) Genetic algorithms in the fields of artificial intelligence and data sciences. Ann Data Sci 10(4):1007–1018
5. Fortin F-A et al (2012) DEAP: Evolutionary algorithms made easy. J Mach Learn Res 13(1):2171–2175
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